{"id":"W7125009698","doi":"10.16995/regeneration.16556","title":"Unalienating Carbon: Affect and Labour in Artisanal Carbon Removal Work","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Ecocriticism and Environmental Literature","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Greenhouse gas; Climate change; Carbon sink; Agriculture; Work (physics); Carbon fibers; Climate change mitigation; Narrative","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006457863,0.0002561891,0.0005318545,0.0005447448,0.0002221751,0.00145684,0.0007062231,0.00007916633,0.002602206],"category_scores_gemma":[0.00009385403,0.0002317084,0.0000828372,0.00033276,0.0002193199,0.0007934617,0.0005194207,0.0004507245,0.000001721931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007860242,"about_ca_system_score_gemma":0.00003322577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001743252,"about_ca_topic_score_gemma":0.0007834824,"domain_scores_codex":[0.9982514,0.0001860992,0.0005645397,0.0003500786,0.0003028586,0.0003449676],"domain_scores_gemma":[0.9991708,0.0002140657,0.0002174147,0.0002407106,0.00004715387,0.0001098422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002369196,0.0002647947,0.9494649,0.0003295281,0.0001755035,0.0003147081,0.004748803,0.00007592012,0.008032829,0.02133751,0.005108151,0.009910394],"study_design_scores_gemma":[0.001266824,0.00002138402,0.9125803,0.002893295,0.0001299978,0.00002436624,0.001770594,0.0001680802,0.003578995,0.02487812,0.05191016,0.000777939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841565,0.0219651,0.000001088449,0.0002260016,0.0005436139,0.0002157672,0.00002570953,0.00001833247,0.09284784],"genre_scores_gemma":[0.9946316,0.001259585,0.00004301086,0.0004970125,0.0002429953,0.00001813039,0.000007641641,0.00002544843,0.003274566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1104751,"threshold_uncertainty_score":0.9995797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1077773554684005,"score_gpt":0.4536733140008343,"score_spread":0.3458959585324338,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}